Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 134 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 23 tok/s Pro
GPT-5 High 22 tok/s Pro
GPT-4o 115 tok/s Pro
Kimi K2 204 tok/s Pro
GPT OSS 120B 438 tok/s Pro
Claude Sonnet 4.5 35 tok/s Pro
2000 character limit reached

Exact calculation of degrees for lattice equations: a singularity approach (2402.16206v2)

Published 25 Feb 2024 in nlin.SI, math-ph, and math.MP

Abstract: The theory of degree growth and algebraic entropy plays a crucial role in the field of discrete integrable systems. However, a general method for calculating degree growth for lattice equations (partial difference equations) is not yet known. Here we propose a new method to rigorously compute the exact degree of each iterate for lattice equations. Our strategy is to extend Halburd's method, which is a novel approach to computing the exact degree of each iterate for mappings (ordinary difference equations) from the singularity structure, to lattice equations. First, we illustrate, without rigorous discussion, how to calculate degrees for lattice equations using the lattice version of Halburd's method and discuss what problems we need to solve to make the method rigorous. We then provide a framework to ensure that all calculations are accurate and rigorous. We also discuss how to detect the singularity structure of a lattice equation. Our method is not only accurate and rigorous but also can easily be applied to a wide range of lattice equations.

Citations (1)

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 2 tweets and received 3 likes.

Upgrade to Pro to view all of the tweets about this paper: